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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 4276
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    Explanations

    question phrases starting with "what"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulic
    -0.82
    opian
    -0.66
    idon
    -0.65
    emp
    -0.65
    using
    -0.65
    DEF
    -0.64
    por
    -0.63
    ushima
    -0.63
    uttering
    -0.62
    iege
    -0.62
    POSITIVE LOGITS
     happens
    1.41
     happened
    1.31
     constitutes
    1.24
     kinds
    1.23
     kind
    1.16
     else
    1.14
     transpired
    1.13
     sort
    1.09
    soever
    1.08
     percentage
    1.04
    Activations Density 0.104%

    No Known Activations